Publications

Meenakshi Krishnan, Y. Zhang, Ramani Duraiswami, C. P. Brown (2026). SPARO: Sparse HRTF Upsampling and Personalization via Neural Operators. Under review, 2026.

Meenakshi Krishnan, P. Pulijala, Ke Chen, Haizhao Yang, Ramani Duraiswami (2026). GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems. NeurIPS 2026.

Meenakshi Krishnan, Ramani Duraiswami (2026). Generalization Analysis and Improved Shape Representation with Neural Signed Distance Functions. International Conference on Learning Representations (ICLR) 2026 Workshop on AI&PDE. Spotlight Presentation (Oral).

Meenakshi Krishnan, Ramani Duraiswami (2026). ViscoReg: Neural Signed Distance Functions via Viscosity Solutions. Transactions on Machine Learning Research (TMLR).

Ke Chen, Meenakshi Krishnan, Haizhao Yang (2025). Error Analysis for Learning Time-Stepping Algorithms for PDEs. arXiv preprint arXiv:2509.04256 (in review).

Meenakshi Krishnan, Liam Fowl, Ramani Duraiswami (2025). 3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025: Workshop on Generative Data Augmentation for Real-World Signal Processing Applications.

Meenakshi Krishnan, K R Arun, Saurav Samantaray (2022). A unified asymptotic preserving and well-balanced scheme for the Euler system with multiscale relaxation. Computers and Fluids.